Lead Software Engineer

The Walt Disney Company•Santa Monica, CA

10d•$155,700 - $218,700

About The Position

The Data Foundations Platform and Governance Engineering team within the Commerce, Data, and Identity organization within the larger Disney Entertainment and ESPN Product and Technology organization is in search of a Lead Software Engineer. The role of this Lead Engineer will focus on privacy solutions and data subject rights automation, working cross-functionally with analytics, data architecture, legal and security partners to build scalable solutions to solve complex privacy related challenges. You’ll get to understand the challenges of how data is being used at Disney’s world-class streaming services while pushing the boundaries of what is possible using the latest technologies available in AWS, Databricks, and beyond.

Requirements

7+ years of data engineering experience in software engineering in the data space
Strong software algorithmic problem-solving expertise
Strong fundamental Scala and Python software programming skills
Good understanding of AWS or other cloud provider resources (S3)
Strong SQL skills and ability to creatively problem solve and dive deep into our data and software ecosystem
Hands-on production environment experience with distributed processing systems such as Apache Spark
Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines
Scripting language experience (Bash, PowerShell)
Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go SQL, Python, Scala, other computer software languages
Willingness and ability to learn and pick up new skillsets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Nice To Haves

Master’s Degree in Computer Science, Information Systems preferred
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)
Experience in developing APIs with GraphQL
Experience in developing microservices
Deep Understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Familiar with Scrum and Agile methodologies
Familiarity with privacy regulations and/or data subject rights

Responsibilities

Be a key player in a cross-functional team of engineers who build software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations.
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization
Work to architect and build world class modularized tooling to understand our very complex environments to come up with plans for simplification, migration, and maintenance.
Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation
Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all our data pipelines.
Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs
Contribute to developing and documenting both internal and external standards and best practices for software deployments, configurations, naming conventions, partitioning strategies, and more.
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Be a part of the magic: Collaborate with product managers, architects, and other engineers to drive the success of the Foundational Platform